FLORIAN Răzvan

Affiliation: Romanian Institute of Science and Technology, Cluj-Napoca, Romania.

Fields of interest/specialization: Machine Learning, Deep Learning, Spiking Neural Networks, Computational Neuroscience, Scientometrics.

Google Scholar: https://scholar.google.com/citations?user=XQ0XWxIAAAAJ&hl=ro

Representative works:

• R. V. Florian (2012), Supervised learning in spiking neural networks. In N. Seel (ed.), Encyclopedia of the Sciences of Learning, Springer.
• R. V. Florian (2012), Reinforcement learning in spiking neural networks. In N. Seel (ed.), Encyclopedia of the Sciences of Learning, Springer.
• Tóth, I., Lázár, Z. I., Varga, L., Járai-Szabó, F., Papp, I., Florian, R. V., & Ercsey-Ravasz, M. (2021). Mitigating ageing bias in article level metrics using citation network analysis. Journal of Informetrics, 15(1), 101105. doi:10.1016/j.joi.2020.101105.
• Varga, L., Deritei, D., Ercsey-Ravasz, M., Florian, R., Lázár, Z. I., Papp, I., & JáraiSzabó, F. (2018). Normalizing scientometric indicators of individual publications using local cluster detection methods on citation networks. International Journal of Educational and Pedagogical Sciences, 12(9), 1189-1198. doi:10.5281/zenodo.1474565.
• Rusu, C. V., & Florian, R. V. (2014). A new class of metrics for spike trains. Neural Computation, 26(2), 306–348. doi:10.1162/NECO_a_00545.